An electronic device for providing graphic data based on a voice, and an operation method therefor are provided. The electronic device includes a display, and a processor, and the processor is configured to obtain at least one keyword from a voice signal related to a plurality of images, determine at least one graphic data corresponding to the at least one keyword, select at least one of the plurality of images, based on a point in time at which a voice corresponding to a keyword that corresponds to the determined graphic data is output, and perform control so as to apply the determined graphic data to the at least one selected image.

An information processing device and method for prediction of a film's success-quotient is provided. The information processing device receives a film script for a film for production, identifies a plurality of scenes in the film script based on a textual analysis of the film script, and computes a first score for each scene of the film script based on genre information for plurality of scenes. The information processing device further identifies a list of characters in the film script, selects an actor for roleplay of each character of the list of characters and computes a second score that indicates a suitability of the selected actor for the roleplay. The second score is computed based on a machine learning model that is trained on datapoints of a historical film database. The information processing device predicts the success-quotient for the film based on the computed first score and the computed second score.

Provided are a text classification method, an electronic device, and a computer-readable storage medium. The method includes acquiring the to-be-tested text; detecting a sensitive word through an AC automaton to determine whether the to-be-tested text contains the sensitive word; and in response to a determination result that the to-be-tested text contains the sensitive word, determining the text category of the to-be-tested text based on the sensitive word contained in the to-be-tested text.

Provided are a text classification method, an electronic device, and a computer-readable storage medium. The method includes acquiring the to-be-tested text; detecting a sensitive word through an AC automaton to determine whether the to-be-tested text contains the sensitive word; and in response to a determination result that the to-be-tested text contains the sensitive word, determining the text category of the to-be-tested text based on the sensitive word contained in the to-be-tested text.

Verifiable order message handling for electronic auctions. Electronic order messages are received, with at least one message including an order of a predetermined type having sell order information associated with an entity having securities not previously registered for transactions. Requests for participation in an electronic auction are identified from among the messages. The requests include auction-only order information, with at least one request including the order of the predetermined type. It is determined whether the sell order information in the order of the predetermined type meets a predetermined auction condition based on an auction price. When the sell order information meets the predetermined auction condition, the order is permitted to participate in the electronic auction, such that the order is executed in full in the electronic auction. When the sell order information does not meet the predetermined auction condition, the electronic auction is canceled.

A computer-implemented method, system, and computer program product for identifying requirements in a document. A document including requirements is received. Attribute related information in the document is identified using an attribute model. Component information in the document is identified using a component model. The attribute related information and the component information identified in the document are merged. Requirements in the document are identified from the merged attribute related information and component information. The requirements identified in the document are used to develop a product.

A computer-implemented method, system, and computer program product for identifying requirements in a document. A document including requirements is received. Attribute related information in the document is identified using an attribute model. Component information in the document is identified using a component model. The attribute related information and the component information identified in the document are merged. Requirements in the document are identified from the merged attribute related information and component information. The requirements identified in the document are used to develop a product.

Dynamic categorization of documents from a semi-static classification taxonomy through the use of key terms, concepts, and entities. Dynamic categorization is a method for retrieving documents that are relevant to a specific category, which can be defined at the time the documents are needed. This is in contrast to a priori sorting and tagging (identifying) documents as to what categories they belong. The categories can be defined not just as a set of key words but may also include phrases, entities and/or relationships found in the document(s), complex field queries, weighted queries against words, as well as exclusion conditions.

A display system and method of interacting with the display system are provided. The method of interacting with the display system comprises following steps: receiving an audio signal through an audio input device; converting the audio signal to corresponding text data through a voice-to-text converting module; generating a corresponding display image according to a document file; acquiring multiple identification data corresponding to the display image from the document file; comparing the text data with the identification data; and if the text data corresponds to one of the identification data, moving or displaying a marker on the display image through the display system according to a coordinate of one of the identification data.

A display system and method of interacting with the display system are provided. The method of interacting with the display system comprises following steps: receiving an audio signal through an audio input device; converting the audio signal to corresponding text data through a voice-to-text converting module; generating a corresponding display image according to a document file; acquiring multiple identification data corresponding to the display image from the document file; comparing the text data with the identification data; and if the text data corresponds to one of the identification data, moving or displaying a marker on the display image through the display system according to a coordinate of one of the identification data.